Application On The Shop-Scheduling System Based On Multi-Agent Technology

As an important part of the manufacturing system, shop floor affects the agility and intelligence of the whole enterprise. Its control architecture essentially determines the enterprise's production efficiency and competition ability in the market. Computer network and distributed artificial intelligence provide fundamental technologies for research on shop floor control mode. In this thesis, we studied multi-agent based control architecture and scheduling for networked shop floor.According to the national and international research, this paper analyses the traditional job-shop scheduling system deeply, and, creates a model of job-shop scheduling system based on Multi-Agent System. The reward-punish principle and synthesis index can meet the needs of modern manufacture system, solve the complex job-shop scheduling problems and react on the intelligentization of job-shop scheduling, which based on Multi-Agent System.The paper introduces structural model of Multi-Agent System, cooperative mechanism of agents and contact net model that fits to the distributed control. The system is based on task agent, machine agent and harmonization management agent. In the scheduling system, the program of inviting to public bidding is realized through three procedures.Lastly, base on the study on Zhang jiakou colliery machine Co. Ltd., develop the artificial intelligent scheduling system software on the flat of Windows XP. The database is Access and the advanced language is Visual Basic.